OLS estimates of labour market concentration on No. skills, experience and education
| No competencies per ad | No exp. required | Experience | Graduate | |
|---|---|---|---|---|
| log(HHI) | 0.0503*** | 0.0085*** | −0.0507*** | 0.0062*** |
| (0.0102) | (0.0010) | (0.0073) | (0.0007) | |
| Year FE | ✓ | ✓ | ✓ | ✓ |
| Prov. FE | ✓ | ✓ | ✓ | ✓ |
| Ind. FE | ✓ | ✓ | ✓ | ✓ |
| ISCO4 FE | ✓ | ✓ | ✓ | ✓ |
| MDV | 6.557 | 0.197 | 2.971 | 0.246 |
| mean(HHI*10k) | 1,319 | 1,213 | 1,213 | 1,319 |
| R2 | 0.500 | 0.078 | 0.092 | 0.238 |
| N | 553,030 | 375,122 | 375,122 | 553,030 |
| No competencies per ad | No exp. required | Experience | Graduate | |
|---|---|---|---|---|
| log(HHI) | 0.0503*** | 0.0085*** | −0.0507*** | 0.0062*** |
| (0.0102) | (0.0010) | (0.0073) | (0.0007) | |
| Year FE | ||||
| Prov. FE | ||||
| Ind. FE | ||||
| ISCO4 FE | ||||
| MDV | 6.557 | 0.197 | 2.971 | 0.246 |
| mean(HHI*10k) | 1,319 | 1,213 | 1,213 | 1,319 |
| 0.500 | 0.078 | 0.092 | 0.238 | |
| N | 553,030 | 375,122 | 375,122 | 553,030 |
Note(s): Each observation consists in a vacancy. This table reports the OLS regression outputs using as dependent variables (1) No. competencies per ad, (2) No Exp. required, (3) Experience and (4) Graduate which define (1) the number of competencies demanded in the vacancy, if the vacancy demands (2) less than 1 year of experience, (3) the midpoint-approximation years of experience demanded and (4) a bachelor's degree. The independent variable is the log of the employment HHI, measured at the industry (2-digit ATECO code), province (NUTS-3) and year level. All the regressions also include occupation (ISCO 4-dig) fixed effects. Robust standard errors in parentheses ***p < 0.01, **p < 0.05, *p < 0.1
Source(s): Authors' calculation on AIDA and Wollybi data in 2015–2018 period